Target
PyQrack
dataclass
PyQrack(
min_qubits: int = 0,
dynamic_qubits: bool = False,
pyqrack_options: PyQrackOptions = _default_pyqrack_args(),
)
PyQrack target runtime for Bloqade.
dynamic_qubits
class-attribute
instance-attribute
dynamic_qubits: bool = False
Whether to use dynamic qubit allocation. Cannot use with tensor network simulations.
min_qubits
class-attribute
instance-attribute
min_qubits: int = 0
Minimum number of qubits required for the PyQrack simulator. Useful when address analysis fails to determine the number of qubits.
pyqrack_options
class-attribute
instance-attribute
pyqrack_options: PyQrackOptions = field(
default_factory=_default_pyqrack_args
)
Options to pass to the QrackSimulator object, node qubitCount
will be overwritten.
multi_run
multi_run(
mt: Method[Params, RetType],
_shots: int,
*args: args,
**kwargs: kwargs
) -> List[RetType]
Run the given kernel method on the PyQrack _shots
times, caching analysis results.
Args mt (Method): The kernel method to run. _shots (int): The number of times to run the kernel method.
Returns List of results of the kernel method, one for each shot.
Source code in .venv/lib/python3.12/site-packages/bloqade/pyqrack/target.py
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run
run(
mt: Method[Params, RetType],
*args: args,
**kwargs: kwargs
) -> RetType
Run the given kernel method on the PyQrack simulator.
Args mt (Method): The kernel method to run.
Returns The result of the kernel method, if any.
Source code in .venv/lib/python3.12/site-packages/bloqade/pyqrack/target.py
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